- Install the required libraries, including LangChain, OpenAI, and TikToken, to enable efficient text processing.
- Import essential modules such as TextLoader for loading text files, RecursiveCharacterTextSplitter for chunking strategies, and OpenAI embeddings for embedding operations.
- Utilize the RecursiveCharacterTextSplitter to segment text into manageable chunks.
- Configure the chunk size to 1024 characters with an overlap of 48 characters for optimal processing.
- Conduct a test embedding to ensure the embedding system functions correctly, validating the effectiveness of the text chunking process.
- Install
psycopg2-binaryandpgvectorpackages to facilitate database operations. - Define the PostgreSQL connection string, specifying the IP address and database name.
- Initialize PostgreSQL container with the vector extension enabled to enhance database functionality.